Coevolution between cannabinoid receptors and endocannabinoid ligands

McPartland, John M.; Norris, Ryan W.; Kilpatrick, C. William

doi:10.1016/j.gene.2007.04.017

Cited by 46 publications

(34 citation statements)

References 59 publications

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“…For example, leptin showed no parallel signature of selection with its receptor OB-R, which are known to interact to modulate energy homeostasis and thermogenesis by influencing food intake and fat metabolism [52,53]. This is different from the results of a study of cannabinoid receptors and their ligands, which do show evidence of parallel selection [9]. Moreover, as the limited data that was available, we only examined the co-evolution of lipid genes in mammals; with the enrichment of the databases, it should become possible to investigate the evolutionary role of the lipid genes in the acquisition of warm-bloodedness.…”

Section: Discussioncontrasting

confidence: 60%

“…Fraser et al [7] quantified codon usage bias to infer evidence of coevolution in gene expression levels based on the genomes of four yeast species, while Goh et al [8] found correlations between pairwise sequence distances of two protein binding domains in lower organisms, and also between chemokines and their receptor in mammals. More recently, McPartland et al [9] reported parallel phylogenies between the genes of cannabinoid receptors and their ligands, and also found correlations between the substitution rates of corresponding branches across phylogenies. Here, we test for coadaptation among genes that encode a suite of interacting proteins involved in lipid metabolism.…”

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confidence: 99%

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Selection pressure drives the co-evolution of several lipid metabolism genes in mammals

Lin¹,

Yuan

Chen

2011

Chin. Sci. Bull.

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Adipose tissue is an important endocrine organ and energy supplier. Its physiological effect on the regulation of the energy balance is considered an important factor underlying the evolution of mammals. To test whether the genes controlling lipid metabolism have undergone adaptive molecular change in the evolution of mammals, in this study, we used the orthologous gene sequences of 12 important lipid metabolism proteins (leptin, OB-RL, RXRA, RXRB, RXRG, PPARA, PPARB/D, PPARG, PNLIP, ADIPOQ, LPL and UCP1) from NCBI's databases. We found evidence that 4 of the corresponding genes (leptin, ADIPOQ, PNLIP and PPARA) have undergone positive selection in their evolutionary history and that most adaptive changes occurred during the evolution of the super-clades Laurasiatheria (placentals) and suborders within Euarchontoglires (primates and rodents). Comparisons across sets of genes showed that in a third of cases, bursts of positive selection, more than would be expected by chance, occurred on corresponding branches. We propose that the positive selection drives adaptive changes in some lipid metabolism genes in or within Laurasiatheria and Euarchontoglires clades. Along with evidence from earlier studies, our results show that co-evolution among interacting lipid metabolism proteins has taken place. protein evolution; lipid metabolism; Darwinian selection, positive selection Citation:Lin B F, Yuan L H, Chen J P. Selection pressure drives the co-evolution of several lipid metabolism genes in mammals. Chin Sci Bull, 2012, 57: 877885,

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Section: Discussioncontrasting

confidence: 60%

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confidence: 99%

Selection pressure drives the co-evolution of several lipid metabolism genes in mammals

Lin¹,

Yuan

Chen

2011

Chin. Sci. Bull.

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“…Moreover, NAPE-PLD-independent routes to generate anandamide and related NAEs have also been uncovered in brain tissue and macrophage cells (Liu et al, 2006). Interestingly, one of these alternative biosynthetic enzymes, the ␣/␤-hydrolase 4, but not NAPE-PLD, shows evidence of coevolution with FAAH during phylogenesis (McPartland et al, 2007). This mismatch between the localization and evolutionary history of NAPE-PLD and FAAH together with the diversity of biosynthetic and catabolic pathways suggests that NAPE-PLD and its products may also be involved in alternative signaling routes.…”

Section: Discussionmentioning

confidence: 99%

Enzymatic Machinery for Endocannabinoid Biosynthesis Associated with Calcium Stores in Glutamatergic Axon Terminals

Nyilas¹,

Dudok²,

Urbán³

et al. 2008

J. Neurosci.

108

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Endocannabinoids are regarded as retrograde signaling molecules at various types of synapses throughout the CNS. The lipid derivatives anandamide and 2-arachidonoylglycerol (2-AG) are generally thought to be the key molecular players in this process. Previous anatomical and electrophysiological studies provided compelling evidence that the biosynthetic enzyme of 2-AG is indeed localized in the postsynaptic plasma membrane, whereas its target, the CB 1 cannabinoid receptor, and the enzyme responsible for its inactivation are both found presynaptically. This molecular architecture of 2-AG signaling is a conserved feature of most synapses and supports the retrograde signaling role of 2-AG. Conversely, the molecular and neuroanatomical organization of synaptic anandamide signaling remains largely unknown. In contrast to its predicted role in retrograde signaling, here we show that N-acylphosphatidylethanolaminehydrolyzing phospholipase D (NAPE-PLD), a biosynthetic enzyme of anandamide and its related bioactive congeners, the N-acylethanolamines (NAEs), is concentrated presynaptically in several types of hippocampal excitatory axon terminals. Furthermore, high-resolution quantitative immunogold labeling demonstrates that this calcium-sensitive enzyme is localized predominantly on the intracellular membrane cisternae of axonal calcium stores. Finally, the highest density of NAPE-PLD is found in mossy terminals of granule cells, which do not express CB 1 receptors. Together, these findings suggest that anandamide and related NAEs are also present at glutamatergic synapses, but the sites of their synthesis and action are remarkably different from 2-AG, indicating distinct physiological roles for given endocannabinoids in the regulation of synaptic neurotransmission and plasticity.

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“…(Ochoa and Pazos 2010)), the likelihood of interaction is measured as a correlation value between the phylogenetic trees of two families of proteins. Although these approaches have been successfully applied in PPIs prediction (Labedan et al 2004;Dou et al 2006;McPartland et al 2007;Juan et al 2008), it is still a major problem distinguishing between co-evolution arising from a direct PPI, what has been termed as co-adaptation , from non-specific changes and thus not necessary driven by a functional relatedness (Lovell and Robertson 2010). Recent advances in this area include MatrixMatchMaker algorithm (Tillier and Charlebois 2009) and a faster implementation suitable for large-scale analyses (Rodionov et al 2011).…”

Section: Co-evolution Methodsmentioning

confidence: 99%

Computational Tools and Databases for the Study and Characterization of Protein Interactions

Segura¹,

Pastor²,

Fernández-Fuentes³

2012

Protein-Protein Interactions - Computational and Experimental Tools

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Coevolution between cannabinoid receptors and endocannabinoid ligands

Cited by 46 publications

References 59 publications

Selection pressure drives the co-evolution of several lipid metabolism genes in mammals

Selection pressure drives the co-evolution of several lipid metabolism genes in mammals

Enzymatic Machinery for Endocannabinoid Biosynthesis Associated with Calcium Stores in Glutamatergic Axon Terminals

Computational Tools and Databases for the Study and Characterization of Protein Interactions

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